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Trocr Small Printed

Developed by microsoft
TrOCR is a Transformer-based optical character recognition model designed for single-line text image OCR tasks.
Downloads 20.88k
Release Time : 3/2/2022

Model Overview

The TrOCR model is an encoder-decoder model composed of an image Transformer as the encoder and a text Transformer as the decoder. This model is fine-tuned on the SROIE dataset, specifically optimized for printed text recognition.

Model Features

Transformer-based Architecture
Utilizes a Transformer encoder-decoder structure, combining both image and text processing capabilities
Optimized for Printed Text
Fine-tuned specifically for printed text, delivering superior recognition performance
End-to-End OCR
Direct end-to-end recognition from image to text, eliminating the need for complex preprocessing steps

Model Capabilities

Printed Text Recognition
Single-line Text OCR
Image-to-Text Conversion

Use Cases

Document Digitization
Receipt Recognition
Automatically recognizes printed text information on receipts
High-accuracy text extraction
Invoice Processing
Extracts key information from invoice images
Improved data processing efficiency
Office Automation
Form Recognition
Recognizes printed text content in forms
Simplifies data entry processes
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